Understanding Research Data Practices of Civil and Environmental Engineering Graduate Students

• Published in: Issues in Science and Technology Librarianship no. 100
• Main Authors: Chen, Xiaoju, Dommermuth, Emily, Benner, Jessica G., Kuglitsch, Rebecca, Lewis, Abbey B., Marsteller, Matthew R., Mika, Katherine, Young, Sarah
• Format: Journal Article
• Language: English
• Published: Science and Technology Section, Association of College and Research Libraries 16.08.2022; University of Alberta Library
• Subjects: Civil Engineering; Cooperative Learning; Data; Data Collection; Engineering Education; Graduate Students; Independent Study; Information Dissemination; Information Management; Student Research; Pennsylvania (Pittsburgh); Colorado (Boulder)
• ISSN: 1092-1206; 1092-1206
• DOI: 10.29173/istl2678

Research data management is essential for high-quality reproducible research, yet relatively little is known about how research data management is practiced by graduate students in Civil and Environmental Engineering (CEE). Prior research suggests that faculty in CEE delegate research data management to graduate students, prompting this investigation into how graduate students practice data management. This study uses semi-structured interviews and qualitative content analysis to explore how CEE graduate students work with data and practice data management in their research, as well as what resources and support would meet their needs. Many respondents touched on data collection, data management, disseminating research outputs, and collaboration and learning in their interviews. Several themes emerged from the interviews: data quality as a concern, as many CEE graduate students rely on secondary data for research; a gap between values and enacted practices; a connection between disseminating data and reproducibility; and a reliance on peer and self-directed learning for data management education. Based on these themes, the study recommends strategies for librarians and others on campus to better support CEE graduate student research data practices.